Ibrahim Alrashdi

Orcid: 0000-0001-7537-5542

According to our database1, Ibrahim Alrashdi authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration.
J. Big Data, December, 2024

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.
BMC Medical Imaging, December, 2024

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks.
Inf. Sci., February, 2024

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction.
Inf. Sci., 2024

A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things.
Internet Things, 2024

Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism.
Expert Syst. Appl., 2024

A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning.
Comput. Hum. Behav., 2024

FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats.
Ad Hoc Networks, 2024

Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm.
IEEE Access, 2024

2023
A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth.
Comput. Syst. Sci. Eng., 2023

Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System.
Proceedings of the IEEE Globecom Workshops 2023, 2023

AI-Assisted Risk Management Systems in Healthcare Industries of Smart Cities.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
Edge Detection-Based Feature Extraction for the Systems of Activity Recognition.
Comput. Intell. Neurosci., 2022

Recent Advances and Challenges of Edge AI and IoT Assisted Covid-19 Alike Detection Systems.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains.
Complex., 2021

Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera.
IEEE Access, 2021

2020
Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism.
IEEE Access, 2020

TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

2019
FBAD: Fog-based Attack Detection for IoT Healthcare in Smart Cities.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol.
Proceedings of the 3rd International Conference on Information System and Data Mining, 2019

AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019


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